Curating memories of armed state actors in Peru’s era of transitional justice
Bibliographic record
Abstract
Ten years have passed since the Peruvian Truth and Reconciliation Commission (Comisión de la Verdad y Reconciliación) published their findings on the conflict that claimed over 69,000 lives from 1980 to 2000. While the Comisión de la Verdad y Reconciliación placed primary responsibility for deaths and disappearances (54%) on the insurrectionary group Shining Path ( Sendero Luminoso), it also named armed state actors as having systematically committed acts of violence. Publicly shamed for their collusion in the corrupt Fujimori government, state security forces initially lent their support to the Comisión de la Verdad y Reconciliación and to the transition to democracy. Yet, over the last decade, armed state actors have appropriated the language, imagery and mechanisms of human rights memory entrepreneurs to advance their own versions of Peru’s recent past which oppose the Comisión de la Verdad y Reconciliación’s findings while highlighting state actors’ heroism. This article examines two such endeavors to reframe this past, the National Police Terrorism Unit (DINCOTE) museum and the Armed Forces Monument to the Heroes of Chavín de Huántar.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.023 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".